Triple

T17338264
Position Surface form Disambiguated ID Type / Status
Subject GVAC E420997 entity
Predicate locatedIn P40 FINISHED
Object Sal Island NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sal Island | Statement: [GVAC, locatedIn, Sal Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sal Island
Context triple: [GVAC, locatedIn, Sal Island]
  • A. Sal Island chosen
    Sal Island is a popular tourist island in Cape Verde known for its sandy beaches, clear waters, and vibrant resort town of Santa Maria.
  • B. Jeannette Island
    Jeannette Island is a small, remote Arctic island in the East Siberian Sea, notable for its harsh climate and uninhabited, ice-covered landscape.
  • C. Saint Pierre Island
    Saint Pierre Island is a small French territorial island in the North Atlantic, forming part of the Saint Pierre and Miquelon archipelago off the coast of Newfoundland, Canada.
  • D. Beef Island
    Beef Island is a small island in the British Virgin Islands known for hosting the Terrance B. Lettsome International Airport, the territory’s main air gateway.
  • E. Gaillard Island
    Gaillard Island is a man-made, dredge-spoil island in Alabama’s Mobile Bay that serves as an important wildlife refuge, especially for nesting seabirds and brown pelicans.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a13dd44819091d296c764976dfe completed April 19, 2026, 2:12 a.m.
Created at: April 10, 2026, 5:43 a.m.